Results 11 to 20 of about 170,593 (200)
Bayesian analysis for quantile smoothing spline
Statistical Theory and Related Fields, 2021 In Bayesian quantile smoothing spline [Thompson, P., Cai, Y., Moyeed, R., Reeve, D., & Stander, J. (2010). Bayesian nonparametric quantile regression using splines.
Zhongheng Cai, Dongchu Sun
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Penalized spline estimator with multi smoothing parameters in bi-response multi-predictor nonparametric regression model for longitudinal data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 Penalized spline estimators that depend on a smoothing parameter is one type of estimator used in the estimation regression curve in nonparametric regression.
Anna Islamiyati, Fatmawati, Nur Chamidah
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Five-Axis Tool Path Smoothing based on Cubic B-Spline Curves [PDF]
한국정밀공학회지, 2020 In CNC machining, NC data created by CAM software is usually linearly interpolated. This linearly interpolated tool path, however, may degrade the dynamic motion performance of the machine tool and the geometric accuracy in comparison with the reference ...
Keewoong Ahn, Sungchul Jee
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Regression with Ordered Predictors via Ordinal Smoothing Splines
Frontiers in Applied Mathematics and Statistics, 2017 Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
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Efficient algorithms for robust generalized cross-validation spline smoothing [PDF]
, 2010 Generalized cross-validation (GCV) is a widely used parameter selection criterion for spline smoothing, but it can give poor results if the sample size n is not sufficiently large.
Anderssen, R.S. +5 more
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Applied Mathematics Letters, 2000 The authors define a smoothing variational spline function by minimizing a quadratic functional in a Sobolev space and prove the convergence of the constructed splines.
Abdelouahed Kouibia, Miguel Pasadas
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A multiobjective path-smoothing algorithm based on node adjustment and turn-smoothing
Measurement + Control, 2023 Presently, mobile robots experience problems of time consumption, poor security, and high computational complexity in global path-smoothing algorithms.
Ning Cao +3 more
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Smoothing under Diffeomorphic Constraints with Homeomorphic Splines [PDF]
, 2010 In this paper we introduce a new class of diffeomorphic smoothers based on general spline smoothing techniques and on the use of some tools that have been recently developed in the context of image warping to compute smooth diffeomorphisms.
Gadat, Sébastien, Bigot, Jérémie
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Point Set Denoising Using Bootstrap-Based Radial Basis Function. [PDF]
PLoS ONE, 2016 This paper examines the application of a bootstrap test error estimation of radial basis functions, specifically thin-plate spline fitting, in surface smoothing.
Khang Jie Liew +2 more
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Principle of Duality in Cubic Smoothing Spline
Mathematics, 2020 Fitting a cubic smoothing spline is a typical smoothing method. This paper reveals a principle of duality in the penalized least squares regressions relating to the method.
Ruixue Du, Hiroshi Yamada
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